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	Surge diagnosis of mine main ventilator based on information fusion
	Wang, Xin ; Jiang, Jun ; Hao, Yumeng
	2012
英文摘要	The surge fault is the severe fault of the mine main ventilator. In order to improve the reliability of the surge diagnosis of the mine main ventilator, this paper presents a new surge diagnosis method based on the multi-sensor information fusion. A novel calculating method of the mass function based on the fuzzy set is put forward. According to the characteristics of the surge diagnosis of the mine main ventilator, the membership functions are obtained. By using the membership functions, the mass functions are obtained, and then by using the Dempster-Shafer evidential theory, the information fusion is carried out. This paper presents the implementing process of the surge diagnosis of the mine main ventilator in detail. The surge diagnosis results indicate that the multi-sensor information fusion can improve the accuracy and reliability of the surge diagnosis of the mine main ventilator effectively. ? 2012 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/CDCIEM.2012.167
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/412834]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Xin,Jiang, Jun,Hao, Yumeng. Surge diagnosis of mine main ventilator based on information fusion. 2012-01-01.

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